Uccheddu M. C.
Device-free Channel state information Indoor localization Human activity recognition Gesture recognition
It presents a survey on device-free applications using 802.11n Channel State Information (CSI). The survey analyzed device-free indoor localization works, human activity recognition works and gesture recognition works. For each work are described the system setting, the experimental environments and finally the evaluation. There is also the description of my personal implementation of a device-free indoor signal-based system setting, that was deployed at Consiglio Nazionale delle Ricerche (CNR) in Pisa.
@mastersthesis{oai:it.cnr:prodotti:430757, title = {A survey on the use of 802.11 Channel State Information in device-free applications: indoor localization and human activity and gesture recognition}, author = {Uccheddu M. C.}, year = {2020} }